Google DeepMind
@GoogleDeepMind · London, UK · joined 19 Jan 2016
The engine room of @Google. Building AI safely and responsibly to solve the world’s most complex problems. Join us: https://t.co/jUHQA27iBL
1 538 360Followers
274Following
4 559Posts total
16.4MViews on collected posts
Последние посты
Ищем новые посты…
Create and deploy custom audio with our new text-to-speech models:
🔵 Gemini 3.8 Flash TTS: Design unique voices with distinct accents and characteristics.
🔵 Gemini 3.8 Flash-Lite TTS: Built for efficiency and scale, choose from your created styles or our expansive https://t.co/
70.8K views · 464 likes
· 57 reposts · 81 replies
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0:59
Researchers at @BroadInstitute, @UniofExeter, and beyond are already using AlphaGenome Atlas to better identify potential disease-causing DNA variants and interpret their role. 🧵 https://t.co/j4OuSz0Djv
82.4K views · 608 likes
· 62 reposts · 165 replies
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GIF
We’re introducing Gemini 3.8 Live and 3.8 Live Extended Thinking – our best conversational AI.
The models talk, think, and handle tasks in the background without breaking your flow. 🧵 https://t.co/nifcYx1C6L
657.6K views · 3.6K likes
· 379 reposts · 351 replies
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Weather forecasts play a critical role in the transition to renewables.
WeatherNext 3 provides grid operators as well as wind and solar power producers with predictions for turbine-height wind speeds and solar radiation, enabling smarter, cleaner energy planning. 🧵 https://t.co/
74.4K views · 693 likes
· 78 reposts · 102 replies
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GIF
How can we reconstruct a memory that was never filmed?
Our team paired restored archival photos with pose control models to capture the mannerisms and micro-expressions of Burt and Ethelle.
This helped bring the day they first met to life for Love, Rendered, a new documentary h
272.4K views · 1.3K likes
· 128 reposts · 148 replies
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1:15
From tracking hurricanes to optimizing renewable energy grids, @PeterWBattaglia and @fryrsquared explore how WeatherNext 3 is shaping how we model forecasts and prepare in a fast-changing climate.
Podcast timecodes:
00:00 Introduction
00:38 Hurricane Melissa
11:50 Why weather
76.4K views · 320 likes
· 40 reposts · 58 replies
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44:24
@GoogleDeepMind At this rate I wouldn't be surprised if AlphaFold cures cancer before Gemini gets good
2.8K views · 38 likes
· 1 reposts · 1 replies
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We believe foundational biology tools should be accessible to everyone.
AlphaGenome Atlas resources are available to the global scientific community via the Atlas website, our AlphaGenome API, as a skill in Google Antigravity, and coming to @GoogleCloud soon → https://t.co/diGS
17.3K views · 282 likes
· 14 reposts · 7 replies
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Atlas includes the AlphaGenome Variant Impact (AVI) score, which combines AlphaGenome, AlphaMissense and other features to:
1️⃣ Rank mutations from low to high-impact
2️⃣ Reveal how they cause damage - like breaking gene switches or RNA splicing instructions. https://t.co/Phbf43T
19.7K views · 225 likes
· 11 reposts · 3 replies
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GIF
AlphaGenome Atlas is over 30 times larger than the AlphaFold Database.
It gives scientists an intuitive way to explore this vast 1-petabyte dataset - unifying interconnected resources so researchers can link genetic variants directly to the molecular mechanisms they disrupt. htt
18.2K views · 312 likes
· 16 reposts · 14 replies
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GIF
@GoogleDeepMind @GoogleResearch This is an amazing development in weather prediction. I do have one comment. The resolution is not 5km. The horizontal grid spacing (footprint) is 5km. See
https://t.co/A6AdKaW43V
https://t.co/oZ5H73XV7U
https://t.co/1BKsoy5bUu
1.4K views · 6 likes
· 0 reposts · 1 replies
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@GoogleDeepMind @GoogleResearch The jump from global forecasts to more localized predictions is probably the most interesting part. That could make weather AI much more practical.
612 views · 4 likes
· 0 reposts · 0 replies
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WeatherNext 3 will now power forecasts in @Google Search, @GeminiApp, @GoogleMaps, and @GMapsPlatform.
Developers and researchers can also access real-time data via BigQuery, Earth Engine, and GCS. Find out more → https://t.co/L0Aj0dracJ https://t.co/6hNpaDzQUK
16.2K views · 134 likes
· 7 reposts · 8 replies
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Predicting rain accurately is notoriously difficult for global weather models, with previous methods producing blurry estimates or missing severe storm boundaries.
WeatherNext 3 achieves a major leap in global precipitation forecasting, delivering up to a 50% reduction in error
16.9K views · 99 likes
· 3 reposts · 1 replies
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By training directly on raw weather station observations, the system captures localized microclimates across typically underserved areas.
It also delivers a 5 times resolution boost in temperature forecasts - from 25km down to 5km - in a single pass. 🏔️ https://t.co/XwzRl8nAiW
7.4K views · 103 likes
· 4 reposts · 1 replies
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While traditional compute constraints limit standard weather updates to six-hour intervals, WeatherNext 3 ingests real-time satellite data directly to launch a brand-new forecast every single hour. https://t.co/3cFSxyltgo
9.9K views · 128 likes
· 8 reposts · 10 replies
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WeatherNext 3 is a major breakthrough in how we forecast global weather. ⛅
Developed with @GoogleResearch, the model learns directly from real-world, real-time observations to give more localized highly accurate predictions faster. 🧵 https://t.co/iI8c6uEN4n
597K views · 1.3K likes
· 201 reposts · 203 replies
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1:18
Gemini 3.8 Flash Cyber gives defenders a decisive advantage with expert vulnerability detection and autonomous patching.
Here’s how it helps teams stay ahead of emerging threats 🧵 https://t.co/1RXF9bRWws
98.2K views · 604 likes
· 63 reposts · 101 replies
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GIF
@GoogleDeepMind The cyber security model should be a hit, theres alot of hacking and we need powerful models to defend itself.
2.5K views · 7 likes
· 0 reposts · 0 replies
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Our new Fairwind Program helps governments and trusted partners stay ahead of threats – giving access to 3.8 Flash Cyber to secure vital infrastructure and protect national security.
Gemini 3.8 Flash is rolling out now in @Antigravity and via the API in @GoogleAIStudio and https
28.3K views · 196 likes
· 16 reposts · 14 replies
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GIF
We’re bringing agentic video understanding to our latest Gemini models.
They can now analyze videos with better accuracy while using up to 88% fewer tokens. 🧵 https://t.co/ZTjlaLk7tX
153.7K views · 1.4K likes
· 145 reposts · 103 replies
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We’re rolling out Gemini Omni 1.1 Flash to make generative video highly controllable, faster to iterate on, and more polished for production-grade use.
Here’s how you can try it in @FlowbyGoogle and more → https://t.co/BFHMropoby https://t.co/uCB46FHOs3
72.7K views · 485 likes
· 46 reposts · 87 replies
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From weather forecasting to robotics, intelligent decision-making relies on understanding the unknown.
Our VP Research @ZoubinGhahrama1 explores with @fryrsquared why teaching systems self-doubt and probability can lead to safer, more reliable real-world decision-making. 🧠 https
67K views · 509 likes
· 53 reposts · 50 replies
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@GoogleDeepMind who's the third party holding both sides blind, that's the part i'd want named before calling it trustworthy
2.4K views · 10 likes
· 1 reposts · 3 replies
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@GoogleDeepMind Double-blind evaluations sound great until you realize the models are trained on the entire internet, including the evaluation datasets themselves. Good luck keeping the weights isolated when the test data is already part of the foundation.
266 views · 9 likes
· 0 reposts · 3 replies
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@GoogleDeepMind Gemini is living in its own world
15.8K views · 266 likes
· 9 reposts · 8 replies
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🔵 It shows strong gains over 3.6 Flash in key coding tasks like debugging and issue resolution.
🔵 It’s better at designing more functional web layouts and apps using fewer prompts.
🔵 It delivers improved reasoning and accuracy when completing real-world business workflows. https:
202.1K views · 586 likes
· 46 reposts · 41 replies
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@GoogleDeepMind It was a fun interview! Thanks @GoogleDeepMind
1.2K views · 14 likes
· 0 reposts · 0 replies
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На фоне аккаунтов своего размера
36 постов за последние 90 дней рядом с диапазоном 1M–10M подписчиков. показывается далеко за пределами своей аудитории, и она отвечает.
Медианные просмотры26 517этот аккаунт14 648медиана для 1M–10M
Охват, %1.72%этот аккаунт0.74%медиана для 1M–10M
Вовлечённость, %0.88%этот аккаунт0.70%медиана для 1M–10M
| Показатель | Этот аккаунт | Медиана для 1M–10M | Отношение |
|---|---|---|---|
| Медианные просмотры на пост | 26 517 | 14 648 | 1.81× |
| Охват (просмотры ÷ подписчики) | 1.72% | 0.74% | 2.33× |
| Вовлечённость | 0.88% | 0.70% | 1.27× |
Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
16.9K3 Sep
16.2K
612
1.4K
18.2K8 Sep
19.7K
17.3K
2.8K
76.4K9 Sep
272.4K11 Sep
74.4K14 Sep
657.6K15 Sep
82.4K17 Sep
70.8K23 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.62%3 Sep
0.92%
0.65%
0.51%
1.89%8 Sep
1.22%
1.76%
1.44%
0.56%9 Sep
0.62%11 Sep
1.20%14 Sep
0.70%15 Sep
1.04%17 Sep
0.89%23 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.
What the audience does
Likes68.8%13 885 in total
Reposts6.9%1 395 in total
Replies7.8%1 576 in total
Quotes2.8%574 in total
Bookmarks13.6%2 740 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
21 Sep24 Sep
Daily snapshots since 21 Sep 2026; the dashed line is the starting count.
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